Examining the Influence of AI Chatbots on Semantic Web-Based Global Information Management in Various Industries-Reference-Cited by-同舟云学术

Examining the Influence of AI Chatbots on Semantic Web-Based Global Information Management in Various Industries

Published:2024-05-07 Issue:1 Volume:20 Page:1-14
ISSN:1552-6283
Container-title:International Journal on Semantic Web and Information Systems
language:ng
Short-container-title:

Author:

Xian Wang¹,Guomin Chen²^ORCID,Arya Varsha³,Chui Kwok Tai⁴

Affiliation:

1. School of Politics and Public Administration, Guangxi Minzu University, China

2. Guilin University of Aerospace Technology, China

3. Department of Business Administration, Asia University, Taiwan & Department of Electrical and Computer Engineering, Lebanese American University, Beirut, Lebanon & Center for Interdisciplinary Research, University of Petroleum and Energy Studies (UPES), Dehradun, India & Chandigarh University, Chandigarh, India

4. Hong Kong Metropolitan University, Hong Kong

Abstract

This article presents a comprehensive analysis of the application and effect of ChatGPT, an advanced AI chatbot model, on global information management across various industries such as healthcare, industry, education, and more. Leveraging a dataset obtained from the Scopus database encompassing research papers from 2022 to 2023, this study investigates the influence of ChatGPT by examining publisher impact, authorship patterns based on Lotka's Law, country-specific scientific production, and keyword distribution. The analysis sheds light on prominent publishers, prolific authors, geographic distribution of research contributions, and prevailing research themes. By understanding the impact of ChatGPT in these sectors, this research contributes to the advancement of knowledge and facilitates informed decision-making regarding the responsible and effective utilization of artificial intelligence (AI) chatbot technologies in global information management.

Publisher

IGI Global

Reference50 articles.

1. Phishing Website Detection With Semantic Features Based on Machine Learning Classifiers

2. Image cyberbullying detection and recognition using transfer deep machine learning

3. Increasing customer service efficiency through artificial intelligence chatbot

4. ChatGPT and the Future of Medical Writing

5. Predictive Model Using a Machine Learning Approach for Enhancing the Retention Rate of Students At-Risk

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